
Technical Product Manager
Posted 13 hours ago

Posted 13 hours ago
This is a fully remote position, open to applicants in Brazil, +3 more countries.
• Define and implement Goodway's data, AI, digital marketing, and internal business products within its build-and-buy technology ecosystem.
• Take ownership of and enhance the roadmap for one or more technical product areas.
• Conduct research on customer, user, and business needs through interviews, conversations, usage data, and feedback.
• Convert business objectives and user challenges into product strategies, priorities, success metrics, and delivery plans.
• Prioritize projects based on customer value, business impact, technical feasibility, risk, and organizational capacity.
• Oversee the product lifecycle from discovery and definition to development, launch, and ongoing enhancement.
• Draft product requirements, user stories, acceptance criteria, process flows, and supporting documentation.
• Collaborate with engineering and technical teams on scalable solutions, trade-offs, and dependencies.
• Decompose complex initiatives into incremental, testable releases.
• Facilitate backlog refinement, sprint planning, demos, and retrospectives.
• Manage risks, obstacles, assumptions, and cross-functional dependencies.
• Act as a product advocate and subject matter expert.
• Collaborate with clients and internal users to validate concepts, gather feedback, and support adoption.
• Work with Sales, Marketing, and Client Services on product value and go-to-market strategies.
• Establish product goals and success metrics, assessing outcomes through analytics, feedback, experimentation, and business data.
• Communicate product progress, decisions, trade-offs, and results to stakeholders and leadership.
• Comprehend data flows across campaigns, audiences, media, placements, spending, pacing, performance, and measurement systems.
• Aid in the evolution of GOES™, Goodway's AI-native decision intelligence platform.
• Over 6 years of experience in technical product management, product management, technology consulting, software development, data analytics, or a related field.
• Proven experience in taking technology products or complex capabilities from discovery to launch and ongoing iteration.
• Experience working with internally developed products, third-party platforms, data providers, APIs, and integrations.
• Knowledge of marketing technology and advertising platforms such as Salesforce, Placements.IO, Fluency, audience activation platforms, media planning tools, programmatic platforms, measurement systems, or similar products.
• Experience collaborating closely with engineering, analytics, data science, or AI teams.
• Strong understanding of software development lifecycles, Agile methodologies, APIs, integrations, data systems, and cloud technology.
• Proficient in SQL with the ability to comprehend data models, analytical workflows, and technical trade-offs.
• Experience defining product requirements, user stories, acceptance criteria, workflows, and release plans.
• Familiarity with Jira, Linear, Confluence, or similar platforms.
• Excellent analytical, problem-solving, communication, facilitation, and stakeholder management skills.
• Ability to function effectively in a collaborative, fast-paced, and occasionally ambiguous environment.
• Candidates should reside outside the U.S.
• Preference will be given to candidates residing in Brazil, Colombia, Mexico, or Peru.
• Preferred: experience in digital advertising, ad tech, marketing technology, media, commerce, or data products.
• Preferred: experience with programmatic advertising, audience data, identity, measurement, attribution, media planning, or optimization.
• Preferred: experience with Snowflake, Redshift, or similar data warehouses.
• Preferred: experience in evaluating build-versus-buy decisions.
• Preferred: experience with Sigma, Tableau, Looker, Mixpanel, Amplitude, or Google Analytics.
• Preferred: experience with AI/ML products, generative AI, LLMs, agentic systems, or intelligent automation.
• Preferred: experience in supporting API partnerships, third-party integrations, or relationships with data providers.
• Remote-first work environment.
• Inclusive, human-first workplace.
• Employee demographic that is 70% female.
• Opportunity to engage with data, AI, digital marketing, and internal business products.
• Collaboration with distributed teams in the U.S. and UK.
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